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Chief Technologist | AI, Scalable Platforms, and Distributed Systems
Engineering executive with over 20 years of experience building and scaling AI-driven, cloud-native platforms and distributed systems in complex, data-intensive environments. Deep expertise in large-scale data infrastructure, production AI, and platform architecture, with a track record of delivering secure, high-performance systems that operate under stringent regulatory and operational requirements. Proven ability to define technical vision, translate business objectives into scalable architectures, and establish engineering standards that enable reliable and efficient product delivery. Experienced in building and leading globally distributed teams while implementing DevOps practices, automated validation pipelines, and governance frameworks that accelerate development cycles and improve system integrity. Combines hands-on technical depth with executive leadership to drive innovation, optimize performance, and position organizations for sustained growth in fast-paced and high-stakes industries.
Grenoble INP - UGA
PhD, Computational and Applied Mathematics
N/A – Present
INP Grenoble - Savoie university
Master's degree, Communication and Distributed Control. in Multi-Agent Systems
N/A – Present
Abbott
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San Francisco Bay Area · On-site
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Roche
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Verint-Systems
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San Francisco Bay Area
Chief Architect
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Blossom Inc
Co Founder, CTO
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San Francisco Bay Area
Fiserv
Sr. Software Architect
February 1, 2007 – August 1, 2013
Viveris
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December 1, 2002 – February 1, 2007
Paris/Lyon, France
HP France
R&D Software Engineer
March 1, 2000 – December 1, 2002
Cultural Fit Analysis
The candidate has a diverse background spanning various industries including healthcare, finance, and customer experience analytics, indicating adaptability. Their experience in leading global teams across different regions (USA, Europe, Asia) suggests a strong capacity for cross-cultural collaboration. The focus on building scalable platforms and fostering innovation through AI/LLMs aligns with a forward-thinking, growth-oriented culture. However, the candidate's recent roles are heavily focused on leadership and strategic management rather than hands-on engineering, which might require careful assessment for a Big Data Engineer role that typically demands significant technical depth and implementation skills. The target role is 'Big Data Engineer' while the candidate's recent experience is 'Division Vice President of Technology' and 'Global Head', which indicates a potential mismatch in the expected day-to-day responsibilities and hands-on contribution level.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and cross-functional team management skills. Their experience in highly regulated industries suggests a meticulous approach to quality, compliance, and operational excellence. The ability to reduce costs through infrastructure optimization and reorganize teams for productivity indicates strong operational acumen. Their background in building AI/ML platforms from the ground up, including governance and validation, aligns well with the demands of a senior Big Data Engineer role that often involves deploying complex data solutions.